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Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset
BACKGROUND: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interactions may be modelled by a Bayesian Network (BN) that represents the presence of direct interactions from regulators to re...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2008
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2335304/ https://ncbi.nlm.nih.gov/pubmed/18261218 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-91 |
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